Data-Sharing Gap Hinders Industrial AI Adoption, Report Finds

A recent report highlights challenges in industrial AI uptake. The study points to a gap in data sharing among firms. Limited data exchange is said to slow AI deployment in factories. Companies cite confidentiality and infrastructure as obstacles. The report suggests that improved sharing could accelerate adoption. Stakeholders are urged to address data governance issues. Analysts predict that closing the gap will boost productivity. Follow‑up research will track progress on data‑sharing initiatives.